About the role
Bioptimus is building a universal AI foundation model for biology, learning the deep structure of living systems from data at scale. This Platform Engineer role sits within the platform organization and owns the self-service and data surface: the storage architecture and tooling that let engineers and researchers find, access, and process large multimodal datasets safely and independently. It is a hands-on, product-minded position focused on infrastructure, paved roads, and services rather than bespoke pipelines.
You will work cloud-first on AWS alongside a Cloud and DevEx platform engineer, partnering with research to support their scale. The role involves building internal services that abstract complexity, extending Terraform and CI/CD, and engineering security into the data layer through access control.
Highlights
- Own the data and storage self-service layer for large multimodal biological datasets
- Build platform services and paved roads that reduce routine tickets for researchers
- Work with object stores, Parquet, Delta, Iceberg, and orchestration tools like Dagster or Airflow
- Implement access control and least-privilege in code, with Terraform and Kubernetes
- Remote role outside Paris, with a platform-as-a-product mindset
This recap is dataskew's editorial summary, not the company's copy.